Articles | Volume 10, issue 9
Atmos. Meas. Tech., 10, 3313–3323, 2017
https://doi.org/10.5194/amt-10-3313-2017
Atmos. Meas. Tech., 10, 3313–3323, 2017
https://doi.org/10.5194/amt-10-3313-2017

Research article 11 Sep 2017

Research article | 11 Sep 2017

Spatial estimation of air PM2.5 emissions using activity data, local emission factors and land cover derived from satellite imagery

Hezron P. Gibe and Mylene G. Cayetano

Viewed

Total article views: 1,675 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
989 627 59 1,675 200 61 75
  • HTML: 989
  • PDF: 627
  • XML: 59
  • Total: 1,675
  • Supplement: 200
  • BibTeX: 61
  • EndNote: 75
Views and downloads (calculated since 24 Mar 2017)
Cumulative views and downloads (calculated since 24 Mar 2017)

Viewed (geographical distribution)

Total article views: 1,684 (including HTML, PDF, and XML) Thereof 1,671 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Oct 2021
Download
Short summary
This paper presents a low-technical method of estimating particulate air pollution in small cities, using Cabanatuan City, Philippines, as the study site, intended for use by stakeholders requiring minimal training in geospatial methods and GIS, for expediting air pollution emission inventories. This method utilizes local emission data and land cover derived from Google Earth satellite images. Results in the study site suggest high emissions from vehicular sources and rice straw burning.